This project analyzes Uber trip data using Power BI to identify trends and patterns in ride demand. Data cleaning and transformation were performed using Power Query, and an interactive dashboard was developed to visualize key insights such as peak hours and location-based trip distribution.

Exploratory data analysis and hypothesis testing on Chicago taxi trip data to uncover patterns in demand and the effects of rainy weather on travel time.